Leveraging artificial intelligence in the fight against infectious diseases

F Wong, C de la Fuente-Nunez, JJ Collins - Science, 2023 - science.org
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Artificial intelligence‐enabled sensing technologies in the 5G/internet of things era: from virtual reality/augmented reality to the digital twin

Z Zhang, F Wen, Z Sun, X Guo, T He… - Advanced Intelligent …, 2022 - Wiley Online Library
With the development of 5G and Internet of Things (IoT), the era of big data‐driven product
design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by …

CRISPR-based diagnostics

MM Kaminski, OO Abudayyeh, JS Gootenberg… - Nature Biomedical …, 2021 - nature.com
The accurate and timely diagnosis of disease is a prerequisite for efficient therapeutic
intervention and epidemiological surveillance. Diagnostics based on the detection of nucleic …

Engineered living materials for sustainability

B An, Y Wang, Y Huang, X Wang, Y Liu, D Xun… - Chemical …, 2022 - ACS Publications
Recent advances in synthetic biology and materials science have given rise to a new form of
materials, namely engineered living materials (ELMs), which are composed of living matter …

Machine learning and computation-enabled intelligent sensor design

Z Ballard, C Brown, AM Madni, A Ozcan - Nature Machine Intelligence, 2021 - nature.com
Over the past several decades the dramatic increase in the availability of computational
resources, coupled with the maturation of machine learning, has profoundly impacted …

Functional annotation of enzyme-encoding genes using deep learning with transformer layers

GB Kim, JY Kim, JA Lee, CJ Norsigian… - Nature …, 2023 - nature.com
Functional annotation of open reading frames in microbial genomes remains substantially
incomplete. Enzymes constitute the most prevalent functional gene class in microbial …

Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model

MA Hannan, DNT How, MSH Lipu, M Mansor, PJ Ker… - Scientific reports, 2021 - nature.com
Accurate state of charge (SOC) estimation of lithium-ion (Li-ion) batteries is crucial in
prolonging cell lifespan and ensuring its safe operation for electric vehicle applications. In …

A deep learning approach to programmable RNA switches

NM Angenent-Mari, AS Garruss, LR Soenksen… - Nature …, 2020 - nature.com
Engineered RNA elements are programmable tools capable of detecting small molecules,
proteins, and nucleic acids. Predicting the behavior of these synthetic biology components …

Synthetic biology in the clinic: engineering vaccines, diagnostics, and therapeutics

X Tan, JH Letendre, JJ Collins, WW Wong - Cell, 2021 - cell.com
Synthetic biology is a design-driven discipline centered on engineering novel biological
functions through the discovery, characterization, and repurposing of molecular parts …

Recent advances in machine learning applications in metabolic engineering

P Patra, BR Disha, P Kundu, M Das, A Ghosh - Biotechnology Advances, 2023 - Elsevier
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …